With the autonomous vehicle industry racing from zero to warp speed,
every aspect of the driving world is set for innovation and
transformation, and Artificial Intelligence (AI) development in
autonomous driving is to bring that transformation, as it is capable of
achieving more than what can be imagined.

For true enablement of Level 4 and Level 5 automated driving, the system
should be functional in all weather and driving conditions. Deep
learning is expected to be the most adopted approach to develop AI as it
learns and starts to think by itself without the need of regular human
intervention. This means that the AI will be capable of dealing with the
several use cases displaying advanced levels of thinking which is
required for autonomous vehicle to function in the real world.

This is what is happening in AI development for robotics, which is
briskly percolating for AD development. Using deep neural networks, the
system can make decisions that provide a clear understanding of the
driving scenarios and can make justified decisions when driving in the
autonomous mode.

Besides safety and autonomous driving, AI would be present in several
aspects in the automotive industry such as speech recognition, computer
vision, connected cars, and virtual assistants. OEMs in the market would
like to partner with skilled startups to develop their capabilities to a
broader sense.

Advantages of using the AI approach include low lead time for
development, ease of testing, addition of a wider range of use cases for
autonomous driving, and reduced cost of development as compared to the
traditional approach. Object detection, classification, and subsequent
learning for decision making based on an internally learnt algorithm to
help fasten development.